Dynamics of a stochastic coronavirus (COVID-19) epidemic model with Markovian switching.

Título

Dynamics of a stochastic coronavirus (COVID-19) epidemic model with Markovian switching.

Autor

Brahim Boukanjime, Tomás Caraballo, Mohamed El Fatini, Mohamed El Khalifi

Descripción

In this paper, we analyze a stochastic coronavirus (COVID-19) epidemic model which is perturbed by both white noise and telegraph noise incorporating general incidence rate. Firstly, we investigate the existence and uniqueness of a global positive solution. Then, we establish the stochastic threshold for the extinction and the persistence of the disease. The data from Indian states, are used to confirm the results established along this paper.

Fecha

2020

Materia

white noise, General incidence, Stochastic COVID-19 epidemic model, Telegraph noise

Identificador

10.1016/j.chaos.2020.110361

Fuente

Chaos, solitons, and fractals

Archivos

https://socictopen.socict.org/files/to_import/pdfs/f00dd5959d7a746533da867665619315.pdf

Colección

Citación

Brahim Boukanjime, Tomás Caraballo, Mohamed El Fatini, Mohamed El Khalifi, “Dynamics of a stochastic coronavirus (COVID-19) epidemic model with Markovian switching.,” SOCICT Open, consulta 21 de abril de 2026, https://socictopen.socict.org/items/show/6961.

Formatos de Salida

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